Image denoising algorithm via spatially adaptive bilateral filtering

摘要：

　　The classical bilateral filtering algorithm is a non-linear and non-iterative image denoising method in spatial domain which utilizes the spatial information and the intensity information between a point and its neighbors to smooth the noisy images while preserving edges well.To further improve the image denoising performance,a spatially adaptive bilateral filtering image deonoising algorithm with low computational complexity is proposed.The proposed algorithm takes advantage of the local statistics characteristic of the image signal to better preserve the edges or textures while suppressing the noise.Experiment results show that the proposed image denoising algorithm achieves better performance than the classical bilateral filtering image denoising method.

关键词： Image denoising Bilateral filtering Spatially Adaptive Local statistics characteristic

作者: Qi Min Zhou Zuofeng Liu Jing Cao Jianzhong Wang Hao Yan Aqi Wu Dengshan Zhang Hui Tang Linao

作者单位: The 63870 Unit of Peoples Liberation Army,Weinan,P.R.China,714200 Xian Institutes of Optics and Precision Mechanics,Chinese Academy of Sciences,Xian,P.R.China,71011 Huawei Technologies Co.,Ltd,Shenzhen,P.R.China,518129

会议类型: 国际会议

会议名称: 2013 2nd international Conference on Opto-Electronics Engineering and Materials Eesearch(2013第二届光电工程与材料研究国际会议)(OEMR2013)

会议地点: 郑州

会议语种:英文

页码: 1457-1460

在线出版日期: 2013-10-19（万方平台首次上网日期，不代表论文的发表时间）